Brainchip / FOMO project using BrainChip MetaTF and Akidanet models
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Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 318 windows | |
| Image training labels | JSON file | 318 windows | |
| Image testing data | NPY file | 91 windows | |
| Image testing labels | JSON file | 91 windows | |
| FOMO with Akida model | TensorFlow Lite (float32) | 362 KB | |
| FOMO with Akida model | TensorFlow Lite (int8 quantized) | 112 KB | |
| FOMO with Akida model | MetaTF | 111 KB | |
| FOMO with Akida model | TensorFlow SavedModel | 390 KB | |
| FOMO with Akida model | Keras h5 model | 345 KB |
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Summary
Data collected
409 itemsProject info
| Project ID | 148833 |
| Project version | 4 |
| License | Apache 2.0 |
